A5040307220- Combustion and flame dynamics
- Particle Dynamics in Fluid Flows
- Granular flow and fluidized beds
- Advanced Combustion Engine Technologies
- Fluid Dynamics and Turbulent Flows
- Thermochemical Biomass Conversion Processes
- Lattice Boltzmann Simulation Studies
- Fire dynamics and safety research
- Fluid Dynamics and Heat Transfer
- Wind and Air Flow Studies
- Cyclone Separators and Fluid Dynamics
- Computational Fluid Dynamics and Aerodynamics
- Atmospheric chemistry and aerosols
- Combustion and Detonation Processes
- Catalytic Processes in Materials Science
- Fluid Dynamics and Vibration Analysis
- Wind Energy Research and Development
- Chemical Looping and Thermochemical Processes
- Iron and Steelmaking Processes
- Aerodynamics and Acoustics in Jet Flows
- Aeolian processes and effects
- Aortic aneurysm repair treatments
- Fluid Dynamics Simulations and Interactions
- Aortic Disease and Treatment Approaches
- Air Quality and Health Impacts
Zhejiang University
2016-2025
Central South University
2001-2025
INTI International University
2025
University of Iowa
2025
State Key Laboratory of Clean Energy Utilization
2015-2024
Shanghai Advanced Research Institute
2021-2024
Anhui University of Technology
2023-2024
Huazhong University of Science and Technology
2022-2024
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2022-2024
Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital
2024
Data-driven machine learning algorithms, random forests and artificial neural network (ANN), are used to establish the subgrid-scale (SGS) model for large-eddy simulation. A total of 30 flow variables examined as potential input features. priori tests indicate that ANN algorithm provides a better solution this regression problem. The relative importance is evaluated by two algorithms. It reveals gradient filtered velocity second derivative account vast majority importance. Besides, pattern...
Simultaneous Multithreading (SMT) is an execution model that executes multiple threads in parallel within a single processor pipeline. Usually, SMT uses shared instruction queues to collect instructions from the different threads. Hence, processor’s performance depends on how fetch unit fills these every cycle. In recent past, many schemes have been proposed for fetching into These focussed increasing throughput by using number of and low confidence branch predictions currently pipeline,...
High operating temperature and slow kinetics retard the practical applications of Li-Mg-N-H system for hydrogen storage. To alleviate these problems, a first attempt was carried out by synthesizing Li(2)MgN(2)H(2) through sintering mixture Mg(NH(2))(2)-2LiNH(2) investigating its size-dependent storage performance. A dramatically enhanced absorption/desorption achieved with reduction in particle size. For dehydrogenation reaction, three-dimensional diffusion-controlled kinetic mechanism...
The behavior of blood cells and vessel compliance significantly influence hemodynamic parameters, which are closely related to the development aortic dissection. Here two-phase non-Newtonian model fluid-structure interaction (FSI) method coupled simulate flow in a patient-specific dissected aorta. Moreover, three-element Windkessel is applied reproduce physiological pressure waves. Important indicators, such as spatial distribution red (RBCs) wall displacement, greatly characteristics...
Rockburst is an extremely hazardous geological disaster. In order to accurately predict the degree of rockbursts, this paper proposes eight new classification models for predicting intensity level rockbursts based on intelligent optimisation algorithms and deep learning techniques collects 287 sets real rockburst data form a sample database, in which six quantitative indicators are selected as feature parameters. validate effectiveness constructed machine prediction models, study Accuracy,...